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Analysis of Insulin Receiver Operating Characteristic Curve for Impaired Glucose Tolerance and Impaired Fasting Glucose Diagnosis

机译:胰岛素耐受性受损和空腹血糖诊断的胰岛素受体工作特征曲线分析

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Impaired glucose tolerance (IGT), impaired fasting glucose (IFG) and insulin resistance (IR) are prediabetic conditions diagnosed by glucose and insulin values measured by oral glucose tolerance test (OGTT). In the OGTT, insulin and glucose levels are measured in five different blood samples: a sample in fasting (minute 0) and four others after oral intake of 75 gr. of glucose, at intervals of 30 minutes (minute 30, 60, 90 and 120). The values of glucose at 0 and 120 minutes from OGTT are used for the diagnosis of IFG and IGT, respectively. Several parameters had been used to diagnose the IGT and IFG, such as abdominal circumference, HOMA-IR, area under the curve of glucose during OGTT, among others. However, none of these studies have explored obtaining cut-off points from the area under the curve of insulin (AUCI) during OGTT for IGT and IFG diagnosis. For this propose a database of 172 subjects with values of glucose and insulin during OGTT was used. To assess the predictive capacity of AUCI the receiver operating characteristic (ROC) curves were performed and it was calculated the area under the ROC curve (AUCROC), negative predictive value (NPV) and positive predictive value (PPV). The results show that AUCI can predict the IFG (AUCROC=0.71) and IGT (AUCROC=0.65). The AUCI can discriminate between the subjects that undergo IFG and IGT in concomitance from the subjects that only undergo one of the pathologies. All these findings suggested that AUCI could be used as a diagnostic method for IFG and IGT.
机译:糖耐量减低(IGT),空腹血糖(IFG)受损和胰岛素抵抗(IR)是糖尿病前期状况,通过葡萄糖和口服葡萄糖耐量测试(OGTT)测量的胰岛素值诊断出来。在OGTT中,在五种不同的血液样本中测量胰岛素和葡萄糖水平:空腹(0分钟)和口服75克后的另外四种样本。每隔30分钟(每分钟30、60、90和120分钟)血糖。从OGTT开始0和120分钟时的葡萄糖值分别用于IFG和IGT的诊断。已经使用了几个参数来诊断IGT和IFG,例如腹围,HOMA-IR,OGTT期间葡萄糖曲线下的面积。但是,这些研究都没有探索从胰岛素曲线下的区域获得截止点(AUC I )在OGTT中进行IGT和IFG诊断。为此,使用了OGTT期间172名受试者的血糖和胰岛素值数据库。评估AUC的预测能力 I 进行接收器工作特性(ROC)曲线,并计算出ROC曲线下的面积(AUC ROC ),阴性预测值(NPV)和阳性预测值(PPV)。结果表明,AUC I 可以预测IFG(AUC ROC = 0.71)和IGT(AUC ROC = 0.65)。 AUC I 可以区分接受IFG和IGT的受试者与仅接受其中一种病理的受试者。所有这些发现表明,AUC I 可以用作IFG和IGT的诊断方法。

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